{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib图鉴——基础密度图\n",
    "\n",
    "## 公众号：可视化图鉴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.3.3\n",
      "1.1.5\n",
      "1.19.5\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "print(matplotlib.__version__) #查看Matplotlib版本\n",
    "import pandas as pd\n",
    "print(pd.__version__) #查看pandas版本\n",
    "import numpy as np\n",
    "print(np.__version__) #查看numpy版本\n",
    "import matplotlib.pyplot as plt \n",
    "plt.rcParams['font.sans-serif'] = ['STHeiti'] #设置中文"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意，代码在以下环境全部通过测试:\n",
    "- Python 3.7.1\n",
    "- Matplotlib == 3.3.3\n",
    "- pandas == 1.1.5\n",
    "- numpy == 1.19.5\n",
    "\n",
    "因版本不同，可能会有部分语法差异，如有报错，请先检查拼写及版本是否一致！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 密度图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "dic1 = {\n",
    "    'type': [\n",
    "        'A','B','A','A','B','B','B','A','A','B'], 'age': [\n",
    "            37, 30, 50, 16,20,20,43,27,33,8]}\n",
    "\n",
    "df = pd.DataFrame(dic1)\n",
    "df_length=len(df)\n",
    "\n",
    "data = df\n",
    "df_columns=df.columns.tolist()\n",
    "data_A = data[data['type'] == 'A']\n",
    "data_B = data[data['type'] == 'B']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "smean_A= data_A['age'].mean()\n",
    "smean_B = data_B['age'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2056: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2056: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_style(\"ticks\")\n",
    "sns.set_style({'font.sans-serif': ['STHeiti']}) \n",
    "plt.figure(figsize=(8,4),dpi=100)  #通过dpi参数指定图像的分辨率\n",
    "sns.distplot(data_A['age'], hist=False, kde=True, rug=True,   #选择是否显示条形图、密度曲线、观测的小细条（边际毛毯）\n",
    "kde_kws={\"color\":\"#228B22\", \"lw\":1.5, 'linestyle':'--'},  #设置选择True的条件(其密度曲线颜色、线宽、线形)\n",
    "rug_kws={'color':'#228B22','alpha':1, 'lw':2,}, label='A组年龄')\n",
    "\n",
    "sns.distplot(data_B['age'], hist=False, kde=True, rug=True,\n",
    "kde_kws={\"color\":\"#FF6A6A\", \"lw\":1.5, 'linestyle':'--'}, \n",
    "rug_kws={'color':'#FF6A6A', 'alpha':0.5, 'lw':2, 'height':0.1}, label='B组年龄')\n",
    "\n",
    "plt.axvline(smean_A, color='lightcoral', linestyle=\":\", alpha=2)\n",
    "plt.text(smean_A+2,0.012, 'A组年龄: %.1f岁' %(smean_A), color = 'indianred')\n",
    "\n",
    "plt.axvline(smean_B, color='lightseagreen', linestyle=\":\", alpha=2)\n",
    "plt.text(smean_B+2,0.022, 'B组年龄: %.1f岁' %(smean_B), color = 'darkcyan')\n",
    "\n",
    "\n",
    "plt.ylim([0,0.05])\n",
    "plt.grid(linestyle='--')\n",
    "plt.title(\"A/B组人群年龄分布\")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.axvline(smean_A, color='lightcoral', linestyle=\":\", alpha=2)\n",
    "plt.text(smean_A+2,0.012, 'A组年龄: %.1fcm' %(smean_senior), color = 'indianred')\n",
    "\n",
    "plt.axvline(smean_B, color='lightseagreen', linestyle=\":\", alpha=2)\n",
    "plt.text(smean_B+2,0.022, 'B组年龄: %.1fcm' %(smean_college), color = 'darkcyan')\n",
    "\n",
    "\n",
    "plt.ylim([0,0.05])\n",
    "plt.grid(linestyle='--')\n",
    "plt.title((\"A/B组人群年龄分布\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2056: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/Users/xyc/opt/anaconda3/envs/datavis/lib/python3.6/site-packages/seaborn/distributions.py:2056: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='age', ylabel='Density'>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_style(\"ticks\")\n",
    "sns.set_style({'font.sans-serif': ['STHeiti']}) \n",
    "plt.figure(figsize=(8,4),dpi=100)  #通过dpi参数指定图像的分辨率\n",
    "sns.distplot(data_A['age'], hist=False, kde=True, rug=True,   #选择是否显示条形图、密度曲线、观测的小细条（边际毛毯）\n",
    "kde_kws={\"color\":\"#228B22\", \"lw\":1.5, 'linestyle':'--'},  #设置选择True的条件(其密度曲线颜色、线宽、线形)\n",
    "rug_kws={'color':'#228B22','alpha':1, 'lw':2,}, label='A组年龄')\n",
    "\n",
    "sns.distplot(data_B['age'], hist=False, kde=True, rug=True,\n",
    "kde_kws={\"color\":\"#FF6A6A\", \"lw\":1.5, 'linestyle':'--'}, \n",
    "rug_kws={'color':'#FF6A6A', 'alpha':0.5, 'lw':2, 'height':0.1}, label='B组年龄')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
